Senior Data Engineer

🕒 February 10

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SERHANT.

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏠 Real Estate

📱 Media

🤖 Artificial Intelligence

Real Estate • Media • Artificial Intelligence

SERHANT. is a full-service luxury real estate brokerage and global property brand that represents high-end residential and commercial listings, new developments, rentals, and private client services. The firm operates a large agent network and referral platform, provides marketing and creative services through an in‑house production studio, and builds technology and AI-powered tools (including the S. MPLE engine and ADX solutions) to support agents and clients. SERHANT. is active across many U. S. markets and positions itself as both a media-forward brand and a tech-enabled brokerage.

📋 Description

• Design and implement lakehouse architecture using open-source technologies • Build and optimize ClickHouse deployments for high-performance analytical workloads • Develop custom data transforms and ETL/ELT pipelines using well-supported open-source tools • Create data models that bridge our Postgres application databases with ClickHouse analytics layer • Partner with product and engineering to define data models that serve both analytical and operational needs • Write specifications before writing code—defining contracts, schemas, and expected behaviors upfront • Use AI-assisted coding tools daily to accelerate development and reduce toil • Establish data quality frameworks and observability across the pipeline • Optimize for performance, cost, and reliability at scale

🎯 Requirements

• 5+ years of experience in data engineering, analytics engineering, or related roles • Deep expertise with ClickHouse - deployment, optimization, schema design, and materialized views • Strong experience with Postgres and understanding of when to leverage transactional vs. analytical databases • Strong experience with lakehouse architecture patterns (Delta Lake, Apache Iceberg, Apache Hudi) • Proficiency building ETL/ELT pipelines with open-source tools (Airflow, Dagster, dbt, Prefect, or similar) • Hands-on experience with streaming and batch processing frameworks (Kafka, Flink, Spark) • Strong SQL and deep proficiency in Python • TypeScript proficiency for integration with application services • Demonstrated fluency with AI coding assistants (Cursor, Copilot, Claude, etc.) as part of your daily workflow • Experience using LLMs for data transformation, validation, or pipeline generation • A spec-first mindset - you document what you’re building before you build it • Experience with real-time analytics and sub-second query requirements • Familiarity with data contracts, schema registries, and data mesh principles • Contributions to open-source data projects • Background working in cross-functional product teams

🏖️ Benefits

• Health insurance • Professional development opportunities • Flexible work hours